Overview

Brought to you by YData

Dataset statistics

 Cluster 0Cluster 1
Number of variables1212
Number of observations14361314
Missing cells00
Missing cells (%)0.0%0.0%
Duplicate rows194187
Duplicate rows (%)13.5%14.2%
Total size in memory145.8 KiB133.5 KiB
Average record size in memory104.0 B104.0 B

Variable types

 Cluster 0Cluster 1
Numeric1212

Alerts

Cluster 0Cluster 1
Dataset has 194 (13.5%) duplicate rows Dataset has 187 (14.2%) duplicate rowsDuplicates
alcohol is highly overall correlated with densityalcohol is highly overall correlated with densityHigh correlation
density is highly overall correlated with alcohol and 1 other fieldsdensity is highly overall correlated with alcohol and 1 other fieldsHigh correlation
residual sugar is highly overall correlated with densityresidual sugar is highly overall correlated with densityHigh correlation
Alert not present in this datasetfixed acidity is highly overall correlated with pHHigh correlation
Alert not present in this datasetfree sulfur dioxide is highly overall correlated with total sulfur dioxideHigh correlation
Alert not present in this datasetpH is highly overall correlated with fixed acidityHigh correlation
Alert not present in this datasettotal sulfur dioxide is highly overall correlated with free sulfur dioxideHigh correlation

Reproduction

 Cluster 0Cluster 1
Analysis started2025-08-22 15:35:33.2187682025-08-22 15:35:45.518843
Analysis finished2025-08-22 15:35:45.5141592025-08-22 15:35:58.318687
Duration12.3 seconds12.8 seconds
Software versionydata-profiling vv4.16.1ydata-profiling vv4.16.1
Download configurationconfig.jsonconfig.json

Variables

fixed acidity
Real number (ℝ)

 Cluster 0Cluster 1
Distinct4242
Distinct (%)2.9%3.2%
Missing00
Missing (%)0.0%0.0%
Infinite00
Infinite (%)0.0%0.0%
Mean0.495430010.48276256
 Cluster 0Cluster 1
Minimum00
Maximum11
Zeros13
Zeros (%)0.1%0.2%
Negative00
Negative (%)0.0%0.0%
Memory size22.4 KiB20.5 KiB
2025-08-22T10:47:15.795787image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

 Cluster 0Cluster 1
Minimum00
5-th percentile0.20.15
Q10.350.35
median0.4750.475
Q30.6250.6
95-th percentile0.850.825
Maximum11
Range11
Interquartile range (IQR)0.2750.25

Descriptive statistics

 Cluster 0Cluster 1
Standard deviation0.192026680.19986288
Coefficient of variation (CV)0.387595970.4139983
Kurtosis-0.32344826-0.28230346
Mean0.495430010.48276256
Median Absolute Deviation (MAD)0.1250.125
Skewness0.259886790.14891895
Sum711.4375634.35
Variance0.0368742440.039945171
MonotonicityNot monotonicNot monotonic
2025-08-22T10:47:16.008155image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
0.4 96
 
6.7%
0.5 76
 
5.3%
0.55 76
 
5.3%
0.45 73
 
5.1%
0.525 73
 
5.1%
0.3 72
 
5.0%
0.6 65
 
4.5%
0.375 64
 
4.5%
0.475 62
 
4.3%
0.425 60
 
4.2%
Other values (32) 719
50.1%
ValueCountFrequency (%)
0.5 74
 
5.6%
0.45 69
 
5.3%
0.425 68
 
5.2%
0.525 68
 
5.2%
0.55 67
 
5.1%
0.475 67
 
5.1%
0.575 63
 
4.8%
0.3 55
 
4.2%
0.35 53
 
4.0%
0.375 51
 
3.9%
Other values (32) 679
51.7%
ValueCountFrequency (%)
0 1
 
0.1%
0.025 4
 
0.3%
0.05 3
 
0.2%
0.075 5
 
0.3%
0.1 6
 
0.4%
0.125 9
 
0.6%
0.15 11
 
0.8%
0.175 15
1.0%
0.2 31
2.2%
0.225 27
1.9%
ValueCountFrequency (%)
0 3
 
0.2%
0.025 2
 
0.2%
0.05 12
0.9%
0.075 16
1.2%
0.1 13
1.0%
0.125 11
 
0.8%
0.15 10
 
0.8%
0.175 13
1.0%
0.2 28
2.1%
0.225 25
1.9%
ValueCountFrequency (%)
0 3
 
0.2%
0.025 2
 
0.1%
0.05 12
0.8%
0.075 16
1.1%
0.1 13
0.9%
0.125 11
 
0.8%
0.15 10
 
0.7%
0.175 13
0.9%
0.2 28
1.9%
0.225 25
1.7%
ValueCountFrequency (%)
0 1
 
0.1%
0.025 4
 
0.3%
0.05 3
 
0.2%
0.075 5
 
0.4%
0.1 6
 
0.5%
0.125 9
 
0.7%
0.15 11
 
0.8%
0.175 15
1.1%
0.2 31
2.4%
0.225 27
2.1%

volatile acidity
Real number (ℝ)

 Cluster 0Cluster 1
Distinct6463
Distinct (%)4.5%4.8%
Missing00
Missing (%)0.0%0.0%
Infinite00
Infinite (%)0.0%0.0%
Mean0.382131440.51116185
 Cluster 0Cluster 1
Minimum00
Maximum0.987654321
Zeros22
Zeros (%)0.1%0.2%
Negative00
Negative (%)0.0%0.0%
Memory size22.4 KiB20.5 KiB
2025-08-22T10:47:16.150841image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

 Cluster 0Cluster 1
Minimum00
5-th percentile0.123456790.22222222
Q10.246913580.37037037
median0.370370370.49382716
Q30.493827160.64197531
95-th percentile0.691358020.86419753
Maximum0.987654321
Range0.987654321
Interquartile range (IQR)0.246913580.27160494

Descriptive statistics

 Cluster 0Cluster 1
Standard deviation0.177367810.19192382
Coefficient of variation (CV)0.464153930.37546586
Kurtosis0.10824434-0.37754909
Mean0.382131440.51116185
Median Absolute Deviation (MAD)0.123456790.12345679
Skewness0.579852730.26004272
Sum548.74074671.66667
Variance0.0314593390.036834754
MonotonicityNot monotonicNot monotonic
2025-08-22T10:47:16.298083image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2962962963 88
 
6.1%
0.2469135802 82
 
5.7%
0.3209876543 77
 
5.4%
0.3950617284 74
 
5.2%
0.2222222222 74
 
5.2%
0.1975308642 73
 
5.1%
0.4938271605 70
 
4.9%
0.3456790123 68
 
4.7%
0.3703703704 67
 
4.7%
0.4197530864 62
 
4.3%
Other values (54) 701
48.8%
ValueCountFrequency (%)
0.4938271605 76
 
5.8%
0.5925925926 72
 
5.5%
0.5432098765 70
 
5.3%
0.4444444444 66
 
5.0%
0.3950617284 66
 
5.0%
0.3456790123 59
 
4.5%
0.2962962963 55
 
4.2%
0.4691358025 54
 
4.1%
0.4197530864 53
 
4.0%
0.5185185185 52
 
4.0%
Other values (53) 691
52.6%
ValueCountFrequency (%)
0 2
 
0.1%
0.01234567901 1
 
0.1%
0.02469135802 1
 
0.1%
0.04938271605 5
 
0.3%
0.06172839506 4
 
0.3%
0.07407407407 8
 
0.6%
0.08641975309 2
 
0.1%
0.0987654321 25
1.7%
0.1111111111 1
 
0.1%
0.1234567901 25
1.7%
ValueCountFrequency (%)
0 2
 
0.2%
0.04938271605 1
 
0.1%
0.07407407407 1
 
0.1%
0.08641975309 1
 
0.1%
0.0987654321 6
0.5%
0.1111111111 2
 
0.2%
0.1234567901 2
 
0.2%
0.1481481481 5
0.4%
0.1604938272 1
 
0.1%
0.1728395062 12
0.9%
ValueCountFrequency (%)
0 2
 
0.1%
0.04938271605 1
 
0.1%
0.07407407407 1
 
0.1%
0.08641975309 1
 
0.1%
0.0987654321 6
0.4%
0.1111111111 2
 
0.1%
0.1234567901 2
 
0.1%
0.1481481481 5
0.3%
0.1604938272 1
 
0.1%
0.1728395062 12
0.8%
ValueCountFrequency (%)
0 2
 
0.2%
0.01234567901 1
 
0.1%
0.02469135802 1
 
0.1%
0.04938271605 5
 
0.4%
0.06172839506 4
 
0.3%
0.07407407407 8
 
0.6%
0.08641975309 2
 
0.2%
0.0987654321 25
1.9%
0.1111111111 1
 
0.1%
0.1234567901 25
1.9%

citric acid
Real number (ℝ)

 Cluster 0Cluster 1
Distinct4545
Distinct (%)3.1%3.4%
Missing00
Missing (%)0.0%0.0%
Infinite00
Infinite (%)0.0%0.0%
Mean0.453179640.47585738
 Cluster 0Cluster 1
Minimum00
Maximum11
Zeros72
Zeros (%)0.5%0.2%
Negative00
Negative (%)0.0%0.0%
Memory size22.4 KiB20.5 KiB
2025-08-22T10:47:16.437893image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

 Cluster 0Cluster 1
Minimum00
5-th percentile0.148936170.25531915
Q10.340425530.38297872
median0.446808510.45744681
Q30.553191490.55319149
95-th percentile0.829787230.80851064
Maximum11
Range11
Interquartile range (IQR)0.212765960.17021277

Descriptive statistics

 Cluster 0Cluster 1
Standard deviation0.182181020.15357669
Coefficient of variation (CV)0.40200620.32273681
Kurtosis0.177553920.75583827
Mean0.453179640.47585738
Median Absolute Deviation (MAD)0.106382980.095744681
Skewness0.307437610.53954921
Sum650.76596625.2766
Variance0.0331899250.023585801
MonotonicityNot monotonicNot monotonic
2025-08-22T10:47:16.653450image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
0.3829787234 92
 
6.4%
0.4255319149 92
 
6.4%
0.4680851064 90
 
6.3%
0.829787234 81
 
5.6%
0.4042553191 79
 
5.5%
0.5106382979 75
 
5.2%
0.3617021277 74
 
5.2%
0.3404255319 67
 
4.7%
0.4468085106 65
 
4.5%
0.4893617021 65
 
4.5%
Other values (35) 656
45.7%
ValueCountFrequency (%)
0.4255319149 107
 
8.1%
0.3829787234 97
 
7.4%
0.4680851064 96
 
7.3%
0.4042553191 79
 
6.0%
0.4468085106 75
 
5.7%
0.5106382979 72
 
5.5%
0.4893617021 72
 
5.5%
0.3617021277 68
 
5.2%
0.5531914894 63
 
4.8%
0.5744680851 56
 
4.3%
Other values (35) 529
40.3%
ValueCountFrequency (%)
0 7
 
0.5%
0.04255319149 10
0.7%
0.06382978723 4
 
0.3%
0.08510638298 17
1.2%
0.1063829787 11
0.8%
0.1276595745 16
1.1%
0.1489361702 12
0.8%
0.170212766 15
1.0%
0.1914893617 19
1.3%
0.2127659574 19
1.3%
ValueCountFrequency (%)
0 2
 
0.2%
0.02127659574 1
 
0.1%
0.06382978723 4
 
0.3%
0.1063829787 6
0.5%
0.1276595745 5
 
0.4%
0.1489361702 1
 
0.1%
0.170212766 9
0.7%
0.1914893617 4
 
0.3%
0.2127659574 7
0.5%
0.2340425532 14
1.1%
ValueCountFrequency (%)
0 2
 
0.1%
0.02127659574 1
 
0.1%
0.06382978723 4
 
0.3%
0.1063829787 6
0.4%
0.1276595745 5
 
0.3%
0.1489361702 1
 
0.1%
0.170212766 9
0.6%
0.1914893617 4
 
0.3%
0.2127659574 7
0.5%
0.2340425532 14
1.0%
ValueCountFrequency (%)
0 7
 
0.5%
0.04255319149 10
0.8%
0.06382978723 4
 
0.3%
0.08510638298 17
1.3%
0.1063829787 11
0.8%
0.1276595745 16
1.2%
0.1489361702 12
0.9%
0.170212766 15
1.1%
0.1914893617 19
1.4%
0.2127659574 19
1.4%

residual sugar
Real number (ℝ)

 Cluster 0Cluster 1
Distinct123169
Distinct (%)8.6%12.9%
Missing00
Missing (%)0.0%0.0%
Infinite00
Infinite (%)0.0%0.0%
Mean0.132639020.15210565
 Cluster 0Cluster 1
Minimum00.0046728972
Maximum0.682242990.69626168
Zeros20
Zeros (%)0.1%0.0%
Negative00
Negative (%)0.0%0.0%
Memory size22.4 KiB20.5 KiB
2025-08-22T10:47:16.798235image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

 Cluster 0Cluster 1
Minimum00.0046728972
5-th percentile0.0233644860.018691589
Q10.0373831780.046728972
median0.0700934580.10280374
Q30.214953270.22429907
95-th percentile0.378504670.42056075
Maximum0.682242990.69626168
Range0.682242990.69158879
Interquartile range (IQR)0.177570090.17757009

Descriptive statistics

 Cluster 0Cluster 1
Standard deviation0.123561320.13474515
Coefficient of variation (CV)0.931560890.88586555
Kurtosis0.596821231.0561543
Mean0.132639020.15210565
Median Absolute Deviation (MAD)0.0420560750.070093458
Skewness1.15239331.2236738
Sum190.46963199.86682
Variance0.01526740.018156256
MonotonicityNot monotonicNot monotonic
2025-08-22T10:47:17.107362image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.02803738318 95
 
6.6%
0.03738317757 94
 
6.5%
0.04672897196 91
 
6.3%
0.03271028037 78
 
5.4%
0.04205607477 78
 
5.4%
0.02336448598 67
 
4.7%
0.05607476636 44
 
3.1%
0.05140186916 41
 
2.9%
0.01869158879 37
 
2.6%
0.06542056075 35
 
2.4%
Other values (113) 776
54.0%
ValueCountFrequency (%)
0.02336448598 56
 
4.3%
0.02803738318 54
 
4.1%
0.03738317757 53
 
4.0%
0.04672897196 43
 
3.3%
0.03271028037 41
 
3.1%
0.05607476636 41
 
3.1%
0.01869158879 40
 
3.0%
0.04205607477 39
 
3.0%
0.05140186916 38
 
2.9%
0.06542056075 35
 
2.7%
Other values (159) 874
66.5%
ValueCountFrequency (%)
0 2
 
0.1%
0.004672897196 4
 
0.3%
0.009345794393 6
 
0.4%
0.01401869159 20
 
1.4%
0.01869158879 37
 
2.6%
0.02336448598 67
4.7%
0.02570093458 1
 
0.1%
0.02803738318 95
6.6%
0.03271028037 78
5.4%
0.03504672897 1
 
0.1%
ValueCountFrequency (%)
0.004672897196 3
 
0.2%
0.009345794393 7
 
0.5%
0.01401869159 15
 
1.1%
0.01635514019 3
 
0.2%
0.01869158879 40
3.0%
0.02102803738 1
 
0.1%
0.02336448598 56
4.3%
0.02570093458 2
 
0.2%
0.02803738318 54
4.1%
0.03037383178 1
 
0.1%
ValueCountFrequency (%)
0.004672897196 3
 
0.2%
0.009345794393 7
 
0.5%
0.01401869159 15
 
1.0%
0.01635514019 3
 
0.2%
0.01869158879 40
2.8%
0.02102803738 1
 
0.1%
0.02336448598 56
3.9%
0.02570093458 2
 
0.1%
0.02803738318 54
3.8%
0.03037383178 1
 
0.1%
ValueCountFrequency (%)
0 2
 
0.2%
0.004672897196 4
 
0.3%
0.009345794393 6
 
0.5%
0.01401869159 20
 
1.5%
0.01869158879 37
 
2.8%
0.02336448598 67
5.1%
0.02570093458 1
 
0.1%
0.02803738318 95
7.2%
0.03271028037 78
5.9%
0.03504672897 1
 
0.1%

chlorides
Real number (ℝ)

 Cluster 0Cluster 1
Distinct4944
Distinct (%)3.4%3.3%
Missing00
Missing (%)0.0%0.0%
Infinite00
Infinite (%)0.0%0.0%
Mean0.532108040.33066971
 Cluster 0Cluster 1
Minimum0.0357142860
Maximum10.91071429
Zeros04
Zeros (%)0.0%0.3%
Negative00
Negative (%)0.0%0.0%
Memory size22.4 KiB20.5 KiB
2025-08-22T10:47:17.273041image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

 Cluster 0Cluster 1
Minimum0.0357142860
5-th percentile0.303571430.125
Q10.428571430.25
median0.517857140.33928571
Q30.6250.41071429
95-th percentile0.785714290.53571429
Maximum10.91071429
Range0.964285710.91071429
Interquartile range (IQR)0.196428570.16071429

Descriptive statistics

 Cluster 0Cluster 1
Standard deviation0.147482540.12667051
Coefficient of variation (CV)0.277166540.3830726
Kurtosis0.0586054220.78370403
Mean0.532108040.33066971
Median Absolute Deviation (MAD)0.107142860.071428571
Skewness0.232832280.28728745
Sum764.10714434.5
Variance0.0217511010.016045417
MonotonicityNot monotonicNot monotonic
2025-08-22T10:47:17.433122image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
0.5714285714 74
 
5.2%
0.4464285714 73
 
5.1%
0.4821428571 73
 
5.1%
0.5535714286 70
 
4.9%
0.5178571429 70
 
4.9%
0.5 67
 
4.7%
0.375 63
 
4.4%
0.4642857143 62
 
4.3%
0.625 59
 
4.1%
0.6071428571 57
 
4.0%
Other values (39) 768
53.5%
ValueCountFrequency (%)
0.375 92
 
7.0%
0.3392857143 90
 
6.8%
0.2678571429 75
 
5.7%
0.2857142857 73
 
5.6%
0.3571428571 71
 
5.4%
0.3035714286 71
 
5.4%
0.3214285714 67
 
5.1%
0.3928571429 65
 
4.9%
0.2321428571 61
 
4.6%
0.4107142857 60
 
4.6%
Other values (34) 589
44.8%
ValueCountFrequency (%)
0.03571428571 1
 
0.1%
0.125 1
 
0.1%
0.1607142857 5
 
0.3%
0.1785714286 3
 
0.2%
0.1964285714 2
 
0.1%
0.2142857143 4
 
0.3%
0.2321428571 10
0.7%
0.25 11
0.8%
0.2678571429 13
0.9%
0.2857142857 14
1.0%
ValueCountFrequency (%)
0 4
 
0.3%
0.01785714286 5
 
0.4%
0.03571428571 3
 
0.2%
0.05357142857 10
 
0.8%
0.07142857143 8
 
0.6%
0.08928571429 14
1.1%
0.1071428571 18
1.4%
0.125 17
1.3%
0.1428571429 20
1.5%
0.1607142857 25
1.9%
ValueCountFrequency (%)
0 4
 
0.3%
0.01785714286 5
 
0.3%
0.03571428571 3
 
0.2%
0.05357142857 10
 
0.7%
0.07142857143 8
 
0.6%
0.08928571429 14
1.0%
0.1071428571 18
1.3%
0.125 17
1.2%
0.1428571429 20
1.4%
0.1607142857 25
1.7%
ValueCountFrequency (%)
0.03571428571 1
 
0.1%
0.125 1
 
0.1%
0.1607142857 5
 
0.4%
0.1785714286 3
 
0.2%
0.1964285714 2
 
0.2%
0.2142857143 4
 
0.3%
0.2321428571 10
0.8%
0.25 11
0.8%
0.2678571429 13
1.0%
0.2857142857 14
1.1%

free sulfur dioxide
Real number (ℝ)

 Cluster 0Cluster 1
Distinct7869
Distinct (%)5.4%5.3%
Missing00
Missing (%)0.0%0.0%
Infinite00
Infinite (%)0.0%0.0%
Mean0.365326580.34090466
 Cluster 0Cluster 1
Minimum0.0256410260
Maximum0.923076920.93589744
Zeros01
Zeros (%)0.0%0.1%
Negative00
Negative (%)0.0%0.0%
Memory size22.4 KiB20.5 KiB
2025-08-22T10:47:17.581614image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

 Cluster 0Cluster 1
Minimum0.0256410260
5-th percentile0.10256410.08974359
Q10.243589740.23076923
median0.346153850.33333333
Q30.474358970.44871795
95-th percentile0.666666670.6025641
Maximum0.923076920.93589744
Range0.89743590.93589744
Interquartile range (IQR)0.230769230.21794872

Descriptive statistics

 Cluster 0Cluster 1
Standard deviation0.171597110.15807901
Coefficient of variation (CV)0.469708810.46370447
Kurtosis0.0959773580.045724276
Mean0.365326580.34090466
Median Absolute Deviation (MAD)0.115384620.11538462
Skewness0.521022520.31270857
Sum524.60897447.94872
Variance0.0294455690.024988974
MonotonicityNot monotonicNot monotonic
2025-08-22T10:47:17.723549image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.3461538462 62
 
4.3%
0.2820512821 59
 
4.1%
0.4358974359 43
 
3.0%
0.2435897436 43
 
3.0%
0.3717948718 43
 
3.0%
0.4102564103 42
 
2.9%
0.3076923077 42
 
2.9%
0.2948717949 40
 
2.8%
0.358974359 39
 
2.7%
0.4230769231 38
 
2.6%
Other values (68) 985
68.6%
ValueCountFrequency (%)
0.3717948718 51
 
3.9%
0.3076923077 50
 
3.8%
0.3461538462 49
 
3.7%
0.2692307692 47
 
3.6%
0.3333333333 43
 
3.3%
0.2564102564 41
 
3.1%
0.4102564103 38
 
2.9%
0.2307692308 38
 
2.9%
0.4615384615 38
 
2.9%
0.4358974359 37
 
2.8%
Other values (59) 882
67.1%
ValueCountFrequency (%)
0.02564102564 1
 
0.1%
0.03846153846 7
 
0.5%
0.05128205128 12
0.8%
0.0641025641 9
0.6%
0.07692307692 12
0.8%
0.08974358974 12
0.8%
0.1025641026 20
1.4%
0.1153846154 21
1.5%
0.1217948718 1
 
0.1%
0.1282051282 16
1.1%
ValueCountFrequency (%)
0 1
 
0.1%
0.01282051282 7
 
0.5%
0.02564102564 8
0.6%
0.03846153846 12
0.9%
0.05128205128 11
0.8%
0.0641025641 10
0.8%
0.07692307692 12
0.9%
0.08974358974 10
0.8%
0.1025641026 19
1.4%
0.1153846154 15
1.1%
ValueCountFrequency (%)
0 1
 
0.1%
0.01282051282 7
 
0.5%
0.02564102564 8
0.6%
0.03846153846 12
0.8%
0.05128205128 11
0.8%
0.0641025641 10
0.7%
0.07692307692 12
0.8%
0.08974358974 10
0.7%
0.1025641026 19
1.3%
0.1153846154 15
1.0%
ValueCountFrequency (%)
0.02564102564 1
 
0.1%
0.03846153846 7
 
0.5%
0.05128205128 12
0.9%
0.0641025641 9
0.7%
0.07692307692 12
0.9%
0.08974358974 12
0.9%
0.1025641026 20
1.5%
0.1153846154 21
1.6%
0.1217948718 1
 
0.1%
0.1282051282 16
1.2%

total sulfur dioxide
Real number (ℝ)

 Cluster 0Cluster 1
Distinct164155
Distinct (%)11.4%11.8%
Missing00
Missing (%)0.0%0.0%
Infinite00
Infinite (%)0.0%0.0%
Mean0.461755750.37684868
 Cluster 0Cluster 1
Minimum0.0416666670
Maximum0.960416670.82083333
Zeros01
Zeros (%)0.0%0.1%
Negative00
Negative (%)0.0%0.0%
Memory size22.4 KiB20.5 KiB
2025-08-22T10:47:17.865335image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

 Cluster 0Cluster 1
Minimum0.0416666670
5-th percentile0.250.19166667
Q10.366666670.29166667
median0.450.37083333
Q30.5468750.45
95-th percentile0.70.60416667
Maximum0.960416670.82083333
Range0.918750.82083333
Interquartile range (IQR)0.180208330.15833333

Descriptive statistics

 Cluster 0Cluster 1
Standard deviation0.135933910.1245128
Coefficient of variation (CV)0.294384890.33040529
Kurtosis0.042784730.45826578
Mean0.461755750.37684868
Median Absolute Deviation (MAD)0.0916666670.079166667
Skewness0.296802880.29627053
Sum663.08125495.17917
Variance0.0184780290.015503437
MonotonicityNot monotonicNot monotonic
2025-08-22T10:47:18.009888image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.3833333333 28
 
1.9%
0.4083333333 28
 
1.9%
0.3916666667 28
 
1.9%
0.5458333333 25
 
1.7%
0.5375 25
 
1.7%
0.4291666667 23
 
1.6%
0.4541666667 23
 
1.6%
0.3291666667 22
 
1.5%
0.4 22
 
1.5%
0.3416666667 22
 
1.5%
Other values (154) 1190
82.9%
ValueCountFrequency (%)
0.2833333333 28
 
2.1%
0.3291666667 26
 
2.0%
0.3083333333 26
 
2.0%
0.3833333333 25
 
1.9%
0.3416666667 24
 
1.8%
0.3958333333 23
 
1.8%
0.4375 22
 
1.7%
0.3583333333 22
 
1.7%
0.4458333333 21
 
1.6%
0.4291666667 21
 
1.6%
Other values (145) 1076
81.9%
ValueCountFrequency (%)
0.04166666667 1
 
0.1%
0.09166666667 2
0.1%
0.1166666667 2
0.1%
0.125 2
0.1%
0.1333333333 1
 
0.1%
0.15 1
 
0.1%
0.1541666667 1
 
0.1%
0.1708333333 1
 
0.1%
0.175 3
0.2%
0.1791666667 1
 
0.1%
ValueCountFrequency (%)
0 1
 
0.1%
0.008333333333 1
 
0.1%
0.02083333333 1
 
0.1%
0.025 1
 
0.1%
0.0375 4
0.3%
0.04166666667 1
 
0.1%
0.0625 2
0.2%
0.075 3
0.2%
0.0875 1
 
0.1%
0.09166666667 2
0.2%
ValueCountFrequency (%)
0 1
 
0.1%
0.008333333333 1
 
0.1%
0.02083333333 1
 
0.1%
0.025 1
 
0.1%
0.0375 4
0.3%
0.04166666667 1
 
0.1%
0.0625 2
0.1%
0.075 3
0.2%
0.0875 1
 
0.1%
0.09166666667 2
0.1%
ValueCountFrequency (%)
0.04166666667 1
 
0.1%
0.09166666667 2
0.2%
0.1166666667 2
0.2%
0.125 2
0.2%
0.1333333333 1
 
0.1%
0.15 1
 
0.1%
0.1541666667 1
 
0.1%
0.1708333333 1
 
0.1%
0.175 3
0.2%
0.1791666667 1
 
0.1%

density
Real number (ℝ)

 Cluster 0Cluster 1
Distinct365393
Distinct (%)25.4%29.9%
Missing00
Missing (%)0.0%0.0%
Infinite00
Infinite (%)0.0%0.0%
Mean0.416439230.26792737
 Cluster 0Cluster 1
Minimum0.177104380
Maximum0.706397310.61818182
Zeros01
Zeros (%)0.0%0.1%
Negative00
Negative (%)0.0%0.0%
Memory size22.4 KiB20.5 KiB
2025-08-22T10:47:18.148475image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

 Cluster 0Cluster 1
Minimum0.177104380
5-th percentile0.271043770.12457912
Q10.345454550.19461279
median0.410101010.26060606
Q30.484175080.32508418
95-th percentile0.574410770.45050505
Maximum0.706397310.61818182
Range0.529292930.61818182
Interquartile range (IQR)0.138720540.13047138

Descriptive statistics

 Cluster 0Cluster 1
Standard deviation0.093779190.097566644
Coefficient of variation (CV)0.225192980.36415333
Kurtosis-0.537432060.026651743
Mean0.416439230.26792737
Median Absolute Deviation (MAD)0.0693602690.065993266
Skewness0.1537450.43990207
Sum598.00673352.05657
Variance0.00879453650.00951925
MonotonicityNot monotonicNot monotonic
2025-08-22T10:47:18.316451image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.3831649832 40
 
2.8%
0.4909090909 32
 
2.2%
0.3764309764 31
 
2.2%
0.4235690236 31
 
2.2%
0.3966329966 31
 
2.2%
0.3292929293 31
 
2.2%
0.4505050505 30
 
2.1%
0.3562289562 27
 
1.9%
0.4101010101 26
 
1.8%
0.463973064 25
 
1.7%
Other values (355) 1132
78.8%
ValueCountFrequency (%)
0.235016835 26
 
2.0%
0.1946127946 26
 
2.0%
0.3292929293 26
 
2.0%
0.2754208754 25
 
1.9%
0.261952862 24
 
1.8%
0.2686868687 21
 
1.6%
0.2888888889 21
 
1.6%
0.3158249158 21
 
1.6%
0.2080808081 19
 
1.4%
0.2484848485 19
 
1.4%
Other values (383) 1086
82.6%
ValueCountFrequency (%)
0.1771043771 1
0.1%
0.1811447811 1
0.1%
0.1905723906 1
0.1%
0.1952861953 1
0.1%
0.2121212121 2
0.1%
0.2168350168 2
0.1%
0.2188552189 2
0.1%
0.2215488215 1
0.1%
0.2235690236 1
0.1%
0.2249158249 1
0.1%
ValueCountFrequency (%)
0 1
0.1%
0.001346801347 1
0.1%
0.02087542088 2
0.2%
0.02356902357 1
0.1%
0.04242424242 1
0.1%
0.04579124579 1
0.1%
0.05589225589 2
0.2%
0.06127946128 1
0.1%
0.07003367003 1
0.1%
0.07272727273 1
0.1%
ValueCountFrequency (%)
0 1
0.1%
0.001346801347 1
0.1%
0.02087542088 2
0.1%
0.02356902357 1
0.1%
0.04242424242 1
0.1%
0.04579124579 1
0.1%
0.05589225589 2
0.1%
0.06127946128 1
0.1%
0.07003367003 1
0.1%
0.07272727273 1
0.1%
ValueCountFrequency (%)
0.1771043771 1
0.1%
0.1811447811 1
0.1%
0.1905723906 1
0.1%
0.1952861953 1
0.1%
0.2121212121 2
0.2%
0.2168350168 2
0.2%
0.2188552189 2
0.2%
0.2215488215 1
0.1%
0.2235690236 1
0.1%
0.2249158249 1
0.1%

pH
Real number (ℝ)

 Cluster 0Cluster 1
Distinct7877
Distinct (%)5.4%5.9%
Missing00
Missing (%)0.0%0.0%
Infinite00
Infinite (%)0.0%0.0%
Mean0.531976080.44789149
 Cluster 0Cluster 1
Minimum0.0705882350
Maximum10.94117647
Zeros03
Zeros (%)0.0%0.2%
Negative00
Negative (%)0.0%0.0%
Memory size22.4 KiB20.5 KiB
2025-08-22T10:47:18.468049image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

 Cluster 0Cluster 1
Minimum0.0705882350
5-th percentile0.270588240.18823529
Q10.411764710.31764706
median0.517647060.44705882
Q30.647058820.56470588
95-th percentile0.823529410.71764706
Maximum10.94117647
Range0.929411760.94117647
Interquartile range (IQR)0.235294120.24705882

Descriptive statistics

 Cluster 0Cluster 1
Standard deviation0.16868750.16684386
Coefficient of variation (CV)0.317096020.37250956
Kurtosis-0.21101378-0.27601537
Mean0.531976080.44789149
Median Absolute Deviation (MAD)0.117647060.11764706
Skewness0.234261990.14604442
Sum763.91765588.52941
Variance0.0284554720.027836874
MonotonicityNot monotonicNot monotonic
2025-08-22T10:47:18.627958image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.4705882353 50
 
3.5%
0.5058823529 48
 
3.3%
0.4235294118 47
 
3.3%
0.4588235294 44
 
3.1%
0.4352941176 42
 
2.9%
0.5294117647 42
 
2.9%
0.5176470588 41
 
2.9%
0.4 41
 
2.9%
0.6235294118 41
 
2.9%
0.4823529412 40
 
2.8%
Other values (68) 1000
69.6%
ValueCountFrequency (%)
0.5411764706 44
 
3.3%
0.4352941176 43
 
3.3%
0.4588235294 39
 
3.0%
0.4705882353 37
 
2.8%
0.5294117647 37
 
2.8%
0.4235294118 37
 
2.8%
0.3411764706 36
 
2.7%
0.3176470588 35
 
2.7%
0.5058823529 35
 
2.7%
0.3647058824 33
 
2.5%
Other values (67) 938
71.4%
ValueCountFrequency (%)
0.07058823529 2
 
0.1%
0.08235294118 2
 
0.1%
0.1058823529 1
 
0.1%
0.1176470588 2
 
0.1%
0.1294117647 1
 
0.1%
0.1411764706 1
 
0.1%
0.1529411765 2
 
0.1%
0.1764705882 5
0.3%
0.1882352941 7
0.5%
0.2 4
0.3%
ValueCountFrequency (%)
0 3
0.2%
0.01176470588 2
 
0.2%
0.03529411765 1
 
0.1%
0.04705882353 2
 
0.2%
0.05882352941 1
 
0.1%
0.09411764706 2
 
0.2%
0.1058823529 5
0.4%
0.1176470588 3
0.2%
0.1294117647 7
0.5%
0.1411764706 5
0.4%
ValueCountFrequency (%)
0 3
0.2%
0.01176470588 2
 
0.1%
0.03529411765 1
 
0.1%
0.04705882353 2
 
0.1%
0.05882352941 1
 
0.1%
0.09411764706 2
 
0.1%
0.1058823529 5
0.3%
0.1176470588 3
0.2%
0.1294117647 7
0.5%
0.1411764706 5
0.3%
ValueCountFrequency (%)
0.07058823529 2
 
0.2%
0.08235294118 2
 
0.2%
0.1058823529 1
 
0.1%
0.1176470588 2
 
0.2%
0.1294117647 1
 
0.1%
0.1411764706 1
 
0.1%
0.1529411765 2
 
0.2%
0.1764705882 5
0.4%
0.1882352941 7
0.5%
0.2 4
0.3%

sulphates
Real number (ℝ)

 Cluster 0Cluster 1
Distinct5361
Distinct (%)3.7%4.6%
Missing00
Missing (%)0.0%0.0%
Infinite00
Infinite (%)0.0%0.0%
Mean0.471242980.38795319
 Cluster 0Cluster 1
Minimum0.0819672130
Maximum0.983606561
Zeros01
Zeros (%)0.0%0.1%
Negative00
Negative (%)0.0%0.0%
Memory size22.4 KiB20.5 KiB
2025-08-22T10:47:18.837557image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

 Cluster 0Cluster 1
Minimum0.0819672130
5-th percentile0.22950820.14754098
Q10.34426230.26229508
median0.450819670.36065574
Q30.573770490.49180328
95-th percentile0.803278690.72131148
Maximum0.983606561
Range0.901639341
Interquartile range (IQR)0.22950820.2295082

Descriptive statistics

 Cluster 0Cluster 1
Standard deviation0.170566830.18135311
Coefficient of variation (CV)0.361950910.46746133
Kurtosis-0.135371860.39603997
Mean0.471242980.38795319
Median Absolute Deviation (MAD)0.106557380.1147541
Skewness0.584356950.81593228
Sum676.70492509.77049
Variance0.0290930420.032888952
MonotonicityNot monotonicNot monotonic
2025-08-22T10:47:19.082798image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.4590163934 78
 
5.4%
0.3606557377 70
 
4.9%
0.3770491803 65
 
4.5%
0.393442623 59
 
4.1%
0.3278688525 59
 
4.1%
0.5245901639 57
 
4.0%
0.4098360656 52
 
3.6%
0.4262295082 52
 
3.6%
0.2950819672 47
 
3.3%
0.262295082 47
 
3.3%
Other values (43) 850
59.2%
ValueCountFrequency (%)
0.262295082 81
 
6.2%
0.2950819672 64
 
4.9%
0.2459016393 61
 
4.6%
0.3278688525 55
 
4.2%
0.3606557377 55
 
4.2%
0.2786885246 54
 
4.1%
0.2295081967 51
 
3.9%
0.1967213115 44
 
3.3%
0.393442623 44
 
3.3%
0.3442622951 43
 
3.3%
Other values (51) 762
58.0%
ValueCountFrequency (%)
0.08196721311 2
 
0.1%
0.1475409836 7
 
0.5%
0.1639344262 5
 
0.3%
0.1803278689 13
 
0.9%
0.1967213115 11
 
0.8%
0.2131147541 18
 
1.3%
0.2295081967 17
 
1.2%
0.2459016393 26
1.8%
0.262295082 47
3.3%
0.2786885246 44
3.1%
ValueCountFrequency (%)
0 1
 
0.1%
0.01639344262 1
 
0.1%
0.04918032787 2
 
0.2%
0.06557377049 4
 
0.3%
0.08196721311 10
 
0.8%
0.09836065574 6
 
0.5%
0.1147540984 7
 
0.5%
0.131147541 16
1.2%
0.1475409836 25
1.9%
0.1639344262 34
2.6%
ValueCountFrequency (%)
0 1
 
0.1%
0.01639344262 1
 
0.1%
0.04918032787 2
 
0.1%
0.06557377049 4
 
0.3%
0.08196721311 10
 
0.7%
0.09836065574 6
 
0.4%
0.1147540984 7
 
0.5%
0.131147541 16
1.1%
0.1475409836 25
1.7%
0.1639344262 34
2.4%
ValueCountFrequency (%)
0.08196721311 2
 
0.2%
0.1475409836 7
 
0.5%
0.1639344262 5
 
0.4%
0.1803278689 13
 
1.0%
0.1967213115 11
 
0.8%
0.2131147541 18
 
1.4%
0.2295081967 17
 
1.3%
0.2459016393 26
2.0%
0.262295082 47
3.6%
0.2786885246 44
3.3%

alcohol
Real number (ℝ)

 Cluster 0Cluster 1
Distinct5563
Distinct (%)3.8%4.8%
Missing00
Missing (%)0.0%0.0%
Infinite00
Infinite (%)0.0%0.0%
Mean0.335131910.61270316
 Cluster 0Cluster 1
Minimum00.18965517
Maximum0.689655171
Zeros30
Zeros (%)0.2%0.0%
Negative00
Negative (%)0.0%0.0%
Memory size22.4 KiB20.5 KiB
2025-08-22T10:47:19.239378image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

 Cluster 0Cluster 1
Minimum00.18965517
5-th percentile0.137931030.39655172
Q10.241379310.51724138
median0.344827590.62068966
Q30.431034480.70689655
95-th percentile0.517241380.81034483
Maximum0.689655171
Range0.689655170.81034483
Interquartile range (IQR)0.189655170.18965517

Descriptive statistics

 Cluster 0Cluster 1
Standard deviation0.121434640.1312373
Coefficient of variation (CV)0.362348770.21419393
Kurtosis-0.40106835-0.40020837
Mean0.335131910.61270316
Median Absolute Deviation (MAD)0.0862068970.10344828
Skewness-0.032116675-0.016108185
Sum481.24943805.09195
Variance0.0147463710.017223228
MonotonicityNot monotonicNot monotonic
2025-08-22T10:47:19.397813image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.3620689655 91
 
6.3%
0.4482758621 86
 
6.0%
0.3448275862 83
 
5.8%
0.275862069 81
 
5.6%
0.4137931034 77
 
5.4%
0.3103448276 70
 
4.9%
0.1896551724 66
 
4.6%
0.2586206897 65
 
4.5%
0.2413793103 61
 
4.2%
0.3965517241 61
 
4.2%
Other values (45) 695
48.4%
ValueCountFrequency (%)
0.6206896552 85
 
6.5%
0.7068965517 77
 
5.9%
0.5172413793 71
 
5.4%
0.6551724138 68
 
5.2%
0.5344827586 60
 
4.6%
0.724137931 60
 
4.6%
0.6724137931 56
 
4.3%
0.6896551724 55
 
4.2%
0.4827586207 55
 
4.2%
0.7413793103 53
 
4.0%
Other values (53) 674
51.3%
ValueCountFrequency (%)
0 3
 
0.2%
0.01724137931 2
 
0.1%
0.03448275862 2
 
0.1%
0.05172413793 4
 
0.3%
0.06896551724 8
 
0.6%
0.08620689655 3
 
0.2%
0.1034482759 19
1.3%
0.1206896552 16
1.1%
0.1379310345 36
2.5%
0.1551724138 25
1.7%
ValueCountFrequency (%)
0.1896551724 2
 
0.2%
0.275862069 2
 
0.2%
0.2931034483 4
 
0.3%
0.3103448276 1
 
0.1%
0.3275862069 2
 
0.2%
0.3448275862 8
 
0.6%
0.3620689655 22
1.7%
0.3793103448 14
1.1%
0.3965517241 12
0.9%
0.4137931034 26
2.0%
ValueCountFrequency (%)
0.1896551724 2
 
0.1%
0.275862069 2
 
0.1%
0.2931034483 4
 
0.3%
0.3103448276 1
 
0.1%
0.3275862069 2
 
0.1%
0.3448275862 8
 
0.6%
0.3620689655 22
1.5%
0.3793103448 14
1.0%
0.3965517241 12
0.8%
0.4137931034 26
1.8%
ValueCountFrequency (%)
0 3
 
0.2%
0.01724137931 2
 
0.2%
0.03448275862 2
 
0.2%
0.05172413793 4
 
0.3%
0.06896551724 8
 
0.6%
0.08620689655 3
 
0.2%
0.1034482759 19
1.4%
0.1206896552 16
1.2%
0.1379310345 36
2.7%
0.1551724138 25
1.9%

quality
Real number (ℝ)

 Cluster 0Cluster 1
Distinct67
Distinct (%)0.4%0.5%
Missing00
Missing (%)0.0%0.0%
Infinite00
Infinite (%)0.0%0.0%
Mean5.86699166.3424658
 Cluster 0Cluster 1
Minimum33
Maximum89
Zeros00
Zeros (%)0.0%0.0%
Negative00
Negative (%)0.0%0.0%
Memory size22.4 KiB20.5 KiB
2025-08-22T10:47:19.528115image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

 Cluster 0Cluster 1
Minimum33
5-th percentile55
Q156
median66
Q367
95-th percentile78
Maximum89
Range56
Interquartile range (IQR)11

Descriptive statistics

 Cluster 0Cluster 1
Standard deviation0.810899360.88393051
Coefficient of variation (CV)0.138213830.13936701
Kurtosis0.212803120.73583554
Mean5.86699166.3424658
Median Absolute Deviation (MAD)11
Skewness0.12943052-0.32114295
Sum84258334
Variance0.657557770.78133314
MonotonicityNot monotonicNot monotonic
2025-08-22T10:47:19.674977image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
6 714
49.7%
5 407
28.3%
7 236
 
16.4%
4 42
 
2.9%
8 35
 
2.4%
3 2
 
0.1%
ValueCountFrequency (%)
6 581
44.2%
7 461
35.1%
5 138
 
10.5%
8 95
 
7.2%
4 30
 
2.3%
3 5
 
0.4%
9 4
 
0.3%
ValueCountFrequency (%)
3 2
 
0.1%
4 42
 
2.9%
5 407
28.3%
6 714
49.7%
7 236
 
16.4%
8 35
 
2.4%
ValueCountFrequency (%)
3 5
 
0.4%
4 30
 
2.3%
5 138
 
10.5%
6 581
44.2%
7 461
35.1%
8 95
 
7.2%
9 4
 
0.3%
ValueCountFrequency (%)
3 5
 
0.3%
4 30
 
2.1%
5 138
 
9.6%
6 581
40.5%
7 461
32.1%
8 95
 
6.6%
9 4
 
0.3%
ValueCountFrequency (%)
3 2
 
0.2%
4 42
 
3.2%
5 407
31.0%
6 714
54.3%
7 236
 
18.0%
8 35
 
2.7%

Interactions

Cluster 0

2025-08-22T10:35:44.384136image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:57.192944image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:33.396066image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:45.730985image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:34.279245image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:46.778749image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:36.128844image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:47.907147image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:37.018830image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:49.288900image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:37.928646image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:50.410585image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:38.791018image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:51.460305image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:39.811957image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:52.381497image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:40.711673image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:53.248604image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:41.595070image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:54.268515image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:42.438697image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:55.118848image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:43.478591image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:56.259586image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:44.458819image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:57.265538image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:33.468905image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:45.811062image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:34.353594image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:46.879363image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:36.209091image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:48.008562image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:37.096444image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:49.388895image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:37.999150image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:50.478899image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:38.861418image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:51.560856image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:39.884161image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:52.458827image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:40.779075image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:53.326773image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:41.661497image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:54.341418image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:42.508952image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:55.188637image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:43.553051image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:56.343001image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:44.529617image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:57.338993image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:33.545514image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:45.896183image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:34.419040image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:46.975811image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:36.283760image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:48.128843image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:37.172879image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:49.469049image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:38.071168image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:50.560274image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:39.095539image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:51.639047image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:39.961910image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:52.529166image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:40.861611image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:53.403330image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:41.735425image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:54.409874image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:42.578629image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:55.259799image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:43.628599image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:56.418924image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:44.603376image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:57.409588image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:33.612528image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:45.978657image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:34.498572image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:47.079397image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:36.355054image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:48.213066image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:37.249119image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:49.569397image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:38.140829image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:50.660460image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:39.162190image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:51.722295image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:40.028685image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:52.601223image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:40.932448image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:53.476690image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:41.808664image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:54.479055image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:42.648983image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:55.328902image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:43.705368image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:56.494623image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:44.678783image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:57.492845image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:33.696012image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:46.080825image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:34.573856image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:47.160915image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:36.431993image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:48.313096image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:37.328923image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:49.649091image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:38.219473image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:50.739089image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:39.241023image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:51.818799image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:40.109051image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:52.676925image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:41.011909image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:53.562692image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:41.879673image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:54.557274image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:42.722702image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:55.409780image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:43.779932image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:56.578749image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:44.750651image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:57.559821image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:33.770750image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:46.160903image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:34.648865image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:47.244427image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:36.503916image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:48.395034image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:37.403907image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:49.728834image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:38.279100image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:50.818861image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:39.312135image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:51.888754image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:40.179004image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:52.743332image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:41.083956image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:53.648587image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:41.953614image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:54.624079image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:42.794094image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:55.484038image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:43.861235image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:56.653796image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:44.823695image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:57.634271image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:33.841043image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:46.229032image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:34.718885image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:47.338777image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:36.572982image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:48.473070image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:37.478000image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:49.810566image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:38.356464image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:50.904467image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:39.378606image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:51.954098image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:40.249002image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:52.810451image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:41.148844image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:53.728729image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:42.023043image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:54.690799image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:42.861705image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:55.548815image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:43.928542image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:56.728712image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:44.897546image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:57.705407image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:33.912462image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:46.305787image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:35.723812image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:47.410623image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:36.649094image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:48.564785image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:37.548827image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:49.900944image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:38.429104image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:51.018694image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:39.455085image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:52.023686image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:40.324012image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:52.883162image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:41.228765image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:53.818593image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:42.096798image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:54.759736image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:42.934078image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:55.622867image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:44.011248image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:56.803832image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:44.968950image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:57.779096image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:33.981404image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:46.400139image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:35.803746image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:47.505753image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:36.723774image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:48.649077image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:37.627496image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:50.014928image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:38.498862image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:51.118833image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:39.530011image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:52.097841image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:40.398997image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:52.948851image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:41.304030image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:53.907194image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:42.161463image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:54.834120image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:43.003886image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:55.697618image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:44.078815image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:56.879003image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:45.028879image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:57.848922image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:34.055444image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:46.497296image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:35.910364image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:47.584106image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:36.793970image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:48.738543image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:37.698915image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:50.100034image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:38.561996image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:51.197411image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:39.598871image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:52.160265image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:40.478883image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:53.025478image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:41.368895image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:53.996082image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:42.228553image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:54.898950image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:43.264005image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:55.761532image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:44.158927image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:56.955092image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:45.111106image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:57.926050image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:34.123772image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:46.588763image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:35.985569image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:47.660298image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:36.863214image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:48.818836image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:37.775419image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:50.188989image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:38.630640image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:51.268617image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:39.661892image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:52.233648image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:40.555228image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:53.098629image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:41.444912image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:54.078929image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:42.294845image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:54.959903image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:43.328560image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:55.829043image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:44.228802image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:57.028673image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:45.196390image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:58.008999image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:34.198578image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:46.697455image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:36.062152image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:47.788794image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:36.949044image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:48.929874image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:37.853000image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:50.315060image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:38.712777image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:51.371981image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:39.745749image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:52.310323image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:40.631765image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:53.178827image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:41.519057image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:54.178639image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:42.368796image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:55.043493image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:43.409901image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:56.192543image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

2025-08-22T10:35:44.310533image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:35:57.111572image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Correlations

Cluster 0

2025-08-22T10:47:19.873149image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 1

2025-08-22T10:47:20.261990image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Cluster 0

alcoholchloridescitric aciddensityfixed acidityfree sulfur dioxidepHqualityresidual sugarsulphatestotal sulfur dioxidevolatile acidity
alcohol1.000-0.1650.194-0.5410.0150.2090.1340.345-0.0200.1750.037-0.169
chlorides-0.1651.0000.0010.1480.121-0.092-0.118-0.193-0.009-0.1070.1040.185
citric acid0.1940.0011.000-0.1050.327-0.004-0.0590.081-0.1870.106-0.003-0.229
density-0.5410.148-0.1051.0000.220-0.1610.107-0.1620.610-0.0790.0700.132
fixed acidity0.0150.1210.3270.2201.000-0.144-0.337-0.051-0.070-0.022-0.029-0.057
free sulfur dioxide0.209-0.092-0.004-0.161-0.1441.0000.1130.2890.0360.0890.461-0.165
pH0.134-0.118-0.0590.107-0.3370.1131.0000.2030.0020.1300.089-0.092
quality0.345-0.1930.081-0.162-0.0510.2890.2031.0000.0900.1540.002-0.300
residual sugar-0.020-0.009-0.1870.610-0.0700.0360.0020.0901.000-0.0810.0480.069
sulphates0.175-0.1070.106-0.079-0.0220.0890.1300.154-0.0811.0000.1420.042
total sulfur dioxide0.0370.104-0.0030.070-0.0290.4610.0890.0020.0480.1421.0000.219
volatile acidity-0.1690.185-0.2290.132-0.057-0.165-0.092-0.3000.0690.0420.2191.000

Cluster 1

alcoholchloridescitric aciddensityfixed acidityfree sulfur dioxidepHqualityresidual sugarsulphatestotal sulfur dioxidevolatile acidity
alcohol1.000-0.014-0.029-0.574-0.1360.1240.1740.3480.0510.0980.0660.220
chlorides-0.0141.0000.017-0.0070.0530.007-0.076-0.092-0.092-0.0120.0660.067
citric acid-0.0290.0171.0000.1000.2680.008-0.076-0.016-0.0740.0290.020-0.233
density-0.574-0.0070.1001.0000.394-0.080-0.144-0.1690.585-0.0460.1570.059
fixed acidity-0.1360.0530.2680.3941.000-0.021-0.571-0.1360.061-0.0690.057-0.056
free sulfur dioxide0.1240.0070.008-0.080-0.0211.0000.0450.2310.079-0.0650.566-0.051
pH0.174-0.076-0.076-0.144-0.5710.0451.0000.188-0.0720.1550.0680.100
quality0.348-0.092-0.016-0.169-0.1360.2310.1881.0000.1740.0710.1520.091
residual sugar0.051-0.092-0.0740.5850.0610.079-0.0720.1741.000-0.1050.2150.260
sulphates0.098-0.0120.029-0.046-0.069-0.0650.1550.071-0.1051.000-0.0670.023
total sulfur dioxide0.0660.0660.0200.1570.0570.5660.0680.1520.215-0.0671.0000.130
volatile acidity0.2200.067-0.2330.059-0.056-0.0510.1000.0910.2600.0230.1301.000

Missing values

Cluster 0

2025-08-22T10:35:45.297211image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
A simple visualization of nullity by column.

Cluster 1

2025-08-22T10:35:58.112200image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
A simple visualization of nullity by column.

Cluster 0

2025-08-22T10:35:45.438808image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Cluster 1

2025-08-22T10:35:58.253824image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

Cluster 0

fixed acidityvolatile aciditycitric acidresidual sugarchloridesfree sulfur dioxidetotal sulfur dioxidedensitypHsulphatesalcoholquality
10.3750.5432100.5106380.0467290.6071430.1538460.4708330.4639730.6000000.4426230.1896556
20.8250.4938270.6382980.2943930.6250000.3589740.3250000.5380470.5529410.3606560.2931036
50.8250.4938270.6382980.2943930.6250000.3589740.3250000.5380470.5529410.3606560.2931036
60.3500.5925930.1276600.2990650.5357140.3589740.4875000.5245790.4588240.4098360.2068976
80.3750.5432100.5106380.0467290.6071430.1538460.4708330.4639730.6000000.4426230.1896556
90.8250.3456790.7021280.0420560.5178570.3333330.4583330.4505050.5058820.3770490.4482766
110.9500.3703700.6382980.1682240.3571430.1923080.3750000.5111110.4117650.5081970.2241385
120.7750.2469140.5744680.0280370.4464290.1794870.2333330.3292930.4588240.6721310.4137935
130.4500.1975310.6382980.0420560.5178570.5897440.5166670.2754210.8823530.4918030.6896557
160.4250.5679010.0851060.3224300.5178570.4102560.4750000.5649830.5058820.4590160.1896555

Cluster 1

fixed acidityvolatile aciditycitric acidresidual sugarchloridesfree sulfur dioxidetotal sulfur dioxidedensitypHsulphatesalcoholquality
100.8250.4691360.6595740.0397200.3214290.1153850.1833330.2484850.2352940.5573770.6206905
140.4500.2222220.5957450.0420560.3035710.3333330.3875000.2888890.5411760.5409840.5172417
150.6500.6419750.6808510.0233640.3214290.1923080.6333330.3090910.3882350.5081970.5000006
170.4000.5679010.5957450.1074770.4107140.2179490.3458330.2754210.4470590.2131150.4482767
230.6500.4691360.8085110.0233640.5714290.1923080.4708330.2888890.4705880.4426230.5517246
240.6000.5925930.5531910.0654210.3214290.4487180.3958330.2350170.3647060.8032790.6724147
310.5500.6172840.4680850.0280370.6785710.4615380.4958330.2350170.4000000.0983610.4827596
540.4000.4444440.2978720.2710280.4464290.3205130.4375000.2148150.5058820.4426230.7241387
620.5750.2469140.5531910.0373830.5000000.3717950.2833330.1811450.5529410.2459020.7413797
630.5500.5925930.5106380.0327100.4821430.2307690.2083330.2754210.6117650.7049180.6206907

Cluster 0

fixed acidityvolatile aciditycitric acidresidual sugarchloridesfree sulfur dioxidetotal sulfur dioxidedensitypHsulphatesalcoholquality
40940.2500.3703700.4468090.1822430.5535710.5128210.4375000.4127950.6117650.6885250.4137936
40950.4500.3950620.4893620.4439250.3035710.0769230.2583330.6161620.4705880.4754100.2413796
41000.2000.2962960.5531910.0887850.5892860.1794870.4416670.3845120.8235290.4426230.2758626
41010.6500.3456790.3404260.0280370.3571430.2051280.3250000.3595960.3882350.3114750.2241386
41060.1750.5925930.0638300.0327100.3928570.5512820.5708330.3185190.5529410.2622950.3965525
41110.5000.3456790.5531910.0280370.6607140.4615380.4500000.4168350.2941180.5245900.1379315
41140.2250.3209880.4680850.0140190.4107140.4615380.4250000.2444440.5294120.3934430.3793106
41150.4250.3703700.5957450.0327100.3035710.3461540.3875000.3952860.5882350.5245900.2241385
41160.3500.3209880.4042550.0467290.4285710.2820510.3041670.2713800.5647060.4590160.4827596
41180.4250.3950620.1914890.0280370.4642860.3589740.3833330.3656570.2352940.3934430.1724146

Cluster 1

fixed acidityvolatile aciditycitric acidresidual sugarchloridesfree sulfur dioxidetotal sulfur dioxidedensitypHsulphatesalcoholquality
40930.2250.8148150.2340430.0607480.5892860.3589740.3875000.2875420.5882350.5409840.4827596
40960.3250.5925930.3829790.2803740.1071430.3461540.4708330.3212120.4235290.2295080.5258627
40970.0500.2962960.6382980.0607480.0000000.2307690.3291670.1744110.6823530.5409840.6293106
40990.2250.3209880.4680850.0467290.2678570.3974360.4291670.2242420.6352940.4918030.6034486
41020.3500.7407410.6808510.0887850.4107140.4102560.4083330.2835020.6705880.6065570.5517247
41070.0250.9629630.1489360.0607480.3571430.7435900.5375000.1703700.5647060.2131150.5344836
41100.3500.8148150.2553190.0607480.1428570.0384620.1541670.1461280.2941180.9344260.7931037
41130.3250.6419750.4042550.0747660.3750000.2948720.3375000.1528620.3176470.3606560.5862076
41190.1750.5185190.4255320.0233640.1250000.2307690.3791670.1063970.6470590.2622950.7586217
41200.3000.3209880.5957450.0093460.0892860.2564100.3291670.1548820.5529410.1639340.5862076

Duplicate rows

Cluster 0

fixed acidityvolatile aciditycitric acidresidual sugarchloridesfree sulfur dioxidetotal sulfur dioxidedensitypHsulphatesalcoholquality# duplicates
180.3000.2962960.3404260.2897200.6071430.2564100.3083330.3831650.4235290.3278690.44827664
980.5000.2469140.3829790.4299070.4285710.3461540.3916670.4680130.3764710.3770490.43103474
20.0500.6172840.1276600.0420560.6071430.1025640.3250000.3090910.8117650.3606560.39655263
220.3000.6172840.2127660.0560750.2857140.6025640.5833330.3225590.7294120.5081970.44827663
340.3500.3456790.3829790.0747660.4464290.2820510.4416670.3090910.4705880.4262300.36206963
400.3750.1234570.6808510.0233640.5000000.7820510.5291670.2390570.4000000.8196720.48275973
410.3750.2222220.4680850.1682240.4464290.4487180.4083330.3171720.5294120.3442620.50000063
470.3750.4691360.3191490.2429910.4107140.6410260.5666670.5313130.5764710.2622950.17241463
500.4000.0617280.4042550.0233640.3571430.5384620.5041670.2902360.4470590.5409840.39655273
890.4750.2469140.3829790.4485980.4285710.3461540.4000000.5104380.3764710.3770490.43103473

Cluster 1

fixed acidityvolatile aciditycitric acidresidual sugarchloridesfree sulfur dioxidetotal sulfur dioxidedensitypHsulphatesalcoholquality# duplicates
30.0750.6172840.2553190.0467290.2142860.2051280.2916670.1474750.8470590.2622950.70689773
40.0750.6666670.3404260.2897200.3392860.4358970.4208330.3212120.6941180.2950820.53448363
260.3000.4938270.3617020.6962620.3750000.3717950.4791670.4693600.4705880.3606560.79310373
460.3500.7654320.2978720.1962620.3928570.5512820.4958330.3117850.5176470.3442620.48275973
560.4000.3456790.5957450.3971960.5178570.4230770.4500000.4141410.2117650.1311480.44827673
690.4250.6172840.4255320.1495330.3750000.4102560.2875000.2134680.5411760.6721310.70689773
750.4500.5432100.3191490.3457940.3750000.2435900.4375000.4383840.3176470.2622950.41379363
830.4750.5432100.4042550.1028040.1785710.4487180.3666670.3016840.6117650.6721310.50000073
1010.5000.7654320.5106380.3177570.0892860.4615380.4750000.3373740.4588240.3606560.62069073
1090.5250.4938270.5744680.3971960.3928570.1794870.2375000.5178450.3058820.5245900.46551753